System, method, apparatus, and computer program for automatically generating natural language-based business process

Abstract

The disclosure relates to a natural language-based business process auto-generating system, method, apparatus, and computer program. More specifically, a method for generating a business process configured to include one or more unit elements to perform a given target business using a computing device may include: configuring a first prompt, based on input text including a description of the target business; producing types and connection sequences of one or more unit elements constituting the business process using an artificial intelligence model, based on the first prompt; and generating the business process corresponding to the target business, based on the types and connection sequences of the one or more unit elements.

What is claimed is: 
     
         1 . A method for generating a business process configured to include one or more unit elements to perform a given target business using a computing device, the method comprising:
 configuring a first prompt, based on input text comprising a description of the target business;   producing types and connection sequences of one or more unit elements constituting the business process using an artificial intelligence model, based on the first prompt; and   generating the business process corresponding to the target business, based on the types and connection sequences of the one or more unit elements.   
     
     
         2 . The method of  claim 1 ,
 wherein, in the configuring of the first prompt,   the first prompt is configured using a system prompt configured to include information about a plurality of types of unit elements and a user prompt configured based on the input text.   
     
     
         3 . The method of  claim 2 ,
 wherein the system prompt comprises:   first information about the types and characteristics of the unit elements;   second information about rules for configuring the business process, based on the one or more unit elements; and   third information about a format of a response generated in the artificial intelligence model.   
     
     
         4 . The method of  claim 2 ,
 wherein the user prompt comprises:   fourth information obtained by, in case of generating the business process by modifying a pre-generated second business process, converting the second business process into a data format capable of being processed by the artificial intelligence model; and   fifth information configured based on the input text.   
     
     
         5 . The method of  claim 4 ,
 wherein the fourth information comprises information about one or more unit elements constituting the second business process, which is converted into a JSON type.   
     
     
         6 . The method of  claim 4 ,
 wherein, in the configuring of the first prompt, the first prompt is generated by reflecting, together with the input text, input information specifying connection positions to which one or more unit elements are to be added in the second business process, and   wherein, in the generating of the business process, the business process is generated by adding one or more unit elements to the connection positions.   
     
     
         7 . The method of  claim 1 ,
 wherein, in the producing of the types and connection sequences of the unit elements,   a response generated in the artificial intelligence model comprises a list of one or more unit elements constituting the business process.   
     
     
         8 . The method of  claim 7 ,
 wherein the list of one or more unit elements comprises information about the types of respective unit elements and the connection sequences of respective unit elements.   
     
     
         9 . The method of  claim 1 ,
 wherein, in the generating of the business process,   the business process is generated by sequentially configuring and adding each unit element, based on the types and connection sequences of the one or more unit elements.   
     
     
         10 . The method of  claim 1 ,
 further comprising automatically performing the target business using the generated business process.   
     
     
         11 . An apparatus for generating a business process configured to include one or more unit elements to perform a given target business, the apparatus comprising:
 a processor; and   a memory,   wherein the memory comprises instructions configured to, when executed by the processor, cause the apparatus to implement specific operations, and   wherein the specific operations comprise:   configuring a first prompt, based on input text comprising a description of the target business;   producing types and connection sequences of one or more unit elements constituting the business process using an artificial intelligence model, based on the first prompt; and   generating the business process corresponding to the target business, based on the types and connection sequences of the one or more unit elements.   
     
     
         12 . The apparatus of  claim 11 ,
 wherein, in the configuring of the first prompt,   the first prompt is generated using a system prompt configured to include information about a plurality of types of unit elements and a user prompt configured based on the input text.   
     
     
         13 . The apparatus of  claim 12 ,
 wherein the system prompt comprises:   first information about the types and characteristics of the unit elements;   second information about rules for configuring the business process, based on the one or more unit elements; and   third information about a format of a response generated in the artificial intelligence model.   
     
     
         14 . The apparatus of  claim 12 ,
 wherein the user prompt comprises:   fourth information obtained by, in case of generating the business process by modifying a pre-generated second business process, converting the second business process into a data format capable of being processed by the artificial intelligence model, and   fifth information configured based on the input text.   
     
     
         15 . The apparatus of  claim 14 ,
 wherein the fourth information comprises information about one or more unit elements constituting the second business process, which is converted into a JSON type.   
     
     
         16 . The apparatus of  claim 14 ,
 wherein, in the configuring of the first prompt, the first prompt is generated by reflecting, together with the input text, input information specifying connection positions to which one or more unit elements are to be added in the second business process, and   wherein, in the generating of the business process, the business process is generated by adding one or more unit elements to the connection positions.   
     
     
         17 . The apparatus of  claim 11 ,
 wherein, in the producing of the types and connection sequences of the unit elements,   a response generated in the artificial intelligence model comprises a list of one or more unit elements constituting the business process.   
     
     
         18 . The apparatus of  claim 17 ,
 wherein the list of one or more unit elements comprises information about the types of respective unit elements and the connection sequences of respective unit elements.   
     
     
         19 . The apparatus of  claim 11 ,
 wherein, in the generating of the business process,   the business process is generated by sequentially configuring and adding each unit element, based on the types and connection sequences of the one or more unit elements.   
     
     
         20 . A computer-readable storage medium storing instructions configured to, when executed by a processor, cause an apparatus, comprising the processor and generating a business process configured to include one or more unit elements to perform a given target business, to implement specific operations,
 wherein the specific operations comprise:   configuring a first prompt, based on input text comprising a description of the target business;   producing types and connection sequences of one or more unit elements constituting the business process using an artificial intelligence model, based on the first prompt; and   generating the business process corresponding to the target business, based on the types and connection sequences of the one or more unit elements.